考虑概率-区间混合不确定性的RV减速器可靠性评估方法OA

RV(rotate vector)reducers are widely used in complex mechanical systems such as robots.Their reliability directly affects the performance and service life of the entire system,and reliability assessment serves as a crucial foundation for reliability design and optimization.Currently,the reliability assessment for RV reducers is usually based on probability theory.However,due to the complexity of mechanical systems and the multiple sources of factors influencing reliability,it is difficult to obtain the probability distributions of all uncertain factors in practical engineering.Relying solely on probability theory makes it hard to ensure the accuracy of reliability assessment results.To address this issue,the probability-interval hybrid uncertainty theory was innovatively introduced into the reliability assessment of RV reducers.Based on the stress-strength interference theory,the multi-component failure criteria for RV reducers were established,and a new reliability assessment method for RV reducers was proposed.Specifically,a double-layer nested loop solution framework was established to solve the problem of probability-interval hybrid reliability calculation.To tackle the low efficiency of multi-dimensional hybrid reliability calculation,the modified chaos control method and the multiplicative dimensionality reduction method were respectively adopted to improve the solution efficiency of probabilistic reliability and interval uncertainty.The results of numerical examples showed that the characterization method of uncertain factors had a significant impact on the reliability assessment results.Using probability-interval hybrid uncertain parameters to describe the uncertain factors was more in line with the actual service reliability of RV reducers.The proposed method provides a new approach for the reliability evaluation of RV reducers,which can offer valuable support for the reliability design and optimization of complex equipment.